Title:
FEATURE QUANTITY SELECTION DEVICE, FEATURE QUANTITY SELECTION METHOD, BODY CONDITION ESTIMATION SYSTEM, AND RECORDING MEDIUM
Document Type and Number:
WIPO Patent Application WO/2023/139718
Kind Code:
A1
Abstract:
In order to select feature quantities that are highly robust against jumps and outliers, this feature quantity selection device is provided with: an acquisition unit that acquires a plurality of data sets; a construction unit that changes the distribution of the data included in the data sets and thereby constructs a plurality of re-extracted data sets; an analysis unit that analyzes the plurality of re-extracted data sets using a Lasso regression method; a statistics unit that aggregates the values of the elements included in the plurality of re-extracted data sets according to the analysis results of the plurality of re-extracted data sets, and sets logical values to the elements included in the plurality of re-extracted data sets according to the aggregation results of the values of the elements; a selection unit that, according to a preset specification rule, selects a combination of feature quantities corresponding to the logical values set to the elements; and an output unit that outputs selection information relating to the selected combination of feature quantities.
Inventors:
HUANG CHENHUI (JP)
NIHEY FUMIYUKI (JP)
NIHEY FUMIYUKI (JP)
Application Number:
PCT/JP2022/001953
Publication Date:
July 27, 2023
Filing Date:
January 20, 2022
Export Citation:
Assignee:
NEC CORP (JP)
International Classes:
G06N20/00
Domestic Patent References:
| WO2021229648A1 | 2021-11-18 |
Foreign References:
| JP2018151883A | 2018-09-27 |
Other References:
ENDO, AKIHIRO; NAGATA, KENJI; KIDO, SHOJI; SHOUNO, HAYARU: "Feature Selection for Diffuse Lung Disease Images by Bolasso", IPSJ JOURNAL, vol. 12, no. 3, 1 December 2019 (2019-12-01), pages 68 - 77, XP009547814, ISSN: 1882-7780
Attorney, Agent or Firm:
KITAJIMA Hiroshi et al. (JP)
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